Estimating the gain parameter, g, of the sCMOS camera: Variance vs mean plot of bright field images acquired during the <i>Illuminated white wall experiment</i> (see ‘Experiments’ section).

<p>Intensity levels were incremented in 10% steps from 10% to 100%. The gain is calculated from the slope of plot using the Eq (19), yielding (shown as the solid cyan line). The y-intercept of the linear fit is 6.4. This value is consistent with the value 4.7 obtained using <a href="ht...

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Bibliographic Details
Main Author:	Dibyajyoti Mohanta (22560099) (author)
Other Authors:	Radhika Nambannor Kunnath (22560102) (author), Erik Clarkson (22560105) (author), Albertas Dvirnas (4926085) (author), Fredrik Westerlund (1285863) (author), Tobias Ambjörnsson (4167157) (author)
Published:	2025
Subjects:	Medicine Cell Biology Biotechnology Plant Biology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified truncated fit technique imaging biological samples photophysical image analysis perform image thresholding approach incorporates poisson moderate exposure images camera read noise camera parameters determined div >< p separating background pixels general scmos image scmos camera signal pixels poisson parameter noise modelling background parameters images captured emccd images xlink "> would ideally study introduces square test segmentation using scmos cameras quantum efficiency photons collected parameter called mean number lambda distribution estimate directly emccd cameras effective tool dark current comparing estimates background pixel align well
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Estimating the gain parameter, g, of the sCMOS camera: Variance vs mean plot of bright field images acquired during the <i>Illuminated white wall experiment</i> (see ‘Experiments’ section).

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